AGILE ANALYTICS: ADOPTION FRAMEWORK FOR BUSINESS INTELLIGENCE IN HIGHER EDUCATION

Abstract

Agile analytics is a strategy that focuses on improving DW and BI that characterizes program developers on how they should own the characteristics of DW. In Higher Education, data is an important asset. The unmanaged data available in the database is only transactional because it has to be transferred to a data warehouse. In Higher Education Data Warehouse is a method in data processing, data processing must provide the final results that can be evaluated and provide recommendations. The value of suitable methods or structures is needed to reduce the risk of technological failure in the data warehouse growth environment. The goal of this study is to develop an adoption framework by applying the concept of agile analytics. The System Development process included Manado State University as a research case study by performing business process analysis, and even recognizing issues and problems in the design of DW and BI. Adoption Framework testing is conducted at the end of the project construction to see the level of acceptance, and the architecture and framework feedback